Fuzzy Multiresolution Neural Networks. - Ying Li 004; Qigang Shang; Na Lei (AICI, 2009)

Statistical Analysis of Gene Co-Expression Networks by Maximal Overlap Discrete Wavelet Transform. - Ying Li 004; Na Lei; Jian Ma (BMEI, 2009)

Multi-scale RNA comparison based on RNA triple vector curve representation. - Ying Li 004; Ming Duan; Yanchun Liang 001 (BMC Bioinform., 2012)

A feature selection method based on multiple kernel learning with expression profiles of different types. - Wei Du 002; Zhongbo Cao; Tianci Song; Ying Li 004; Yanchun Liang 001 (BioData Min., 2017)

RNA-TVcurve: a Web server for RNA secondary structure comparison based on a multi-scale similarity of its triple vector curve representation. - Ying Li 004; Xiaohu Shi; Yanchun Liang 001; Juan Xie; Yu Zhang; Qin Ma 003 (BMC Bioinform., 2017)

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property. - Siyu Han; Yanchun Liang 001; Qin Ma 003; Yangyi Xu; Yu Zhang; Wei Du 002; Cankun Wang; Ying Li 004 (Briefings Bioinform., 2019)

Predictive biomarkers of colorectal cancer. - Di Ding; Siyu Han; Hui Zhang; Ye He; Ying Li 004 (Comput. Biol. Chem., 2019)

Identification and Functional Inference for Tumor-Associated Long Non-Coding RNA. - Ying Li 004; Ye He; Siyu Han; Yanchun Liang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

DeepUEP: Prediction of Urine Excretory Proteins Using Deep Learning. - Wei Du 002; Ran Pang; Gaoyang Li; Huansheng Cao; Ying Li 004; Yanchun Liang 001 (IEEE Access, 2020)

CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins. - Wei Du 002; Yu Sun; Gaoyang Li; Huansheng Cao; Ran Pang; Ying Li 004 (BMC Bioinform., 2020)

Deep forest ensemble learning for classification of alignments of non-coding RNA sequences based on multi-view structure representations. - Ying Li 004; Qi Zhang 061; Zhaoqian Liu; Cankun Wang; Siyu Han; Qin Ma 003; Wei Du 002 (Briefings Bioinform., 2021)

Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. - Ying Li 004; Hang Sun; Shiyao Feng; Qi Zhang 061; Siyu Han; Wei Du 002 (BMC Bioinform., 2021)

DeepHBSP: A Deep Learning Framework for Predicting Human Blood-Secretory Proteins Using Transfer Learning. - Wei Du 002; Yu Sun; Hui-Min Bao; Liang Chen 021; Ying Li 004; Yanchun Liang 001 (J. Comput. Sci. Technol., 2021)

MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification. - Cheng Peng; Xinyu Wu; Wen Yuan; Xinran Zhang; Yu Zhang; Ying Li 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Fine-Grained Urban Flow Inferring via Conditional Generative Adversarial Networks. - Xv Zhang; Yuanbo Xu; Ying Li 004; Yongjian Yang (APWeb/WAIM (3), 2022)

TIGER: technical variation elimination for metabolomics data using ensemble learning architecture. - Siyu Han; Jialing Huang; Francesco Foppiano; Cornelia Prehn; Jerzy Adamski; Karsten Suhre; Ying Li 004; Giuseppe Matullo; Freimut Schliess; Christian Gieger; Annette Peters; Rui Wang-Sattler (Briefings Bioinform., 2022)

MAHE-IM: Multiple Aggregation of Heterogeneous Relation Embedding for Influence Maximization on Heterogeneous Information Network. - Ying Li 004; Linlin Li; Yijun Liu; Qianqian Li (Expert Syst. Appl., 2022)

Leveraging multidimensional features for policy opinion sentiment prediction. - Wenju Hou; Ying Li 004; Yijun Liu; Qianqian Li (Inf. Sci., 2022)

LION: an integrated R package for effective prediction of ncRNA-protein interaction. - Siyu Han; Xiao Yang; Hang Sun; Hu Yang; Qi Zhang 061; Cheng Peng; Wensi Fang; Ying Li 004 (Briefings Bioinform., 2022)

LPInsider: a webserver for lncRNA-protein interaction extraction from the literature. - Ying Li 004; Lizheng Wei; Cankun Wang; Jianing Zhao; Siyu Han; Yu Zhang; Wei Du 002 (BMC Bioinform., 2022)

PecidRL: Petition expectation correction and identification based on deep reinforcement learning. - Ying Li 004; Wensi Fang; Hang Sun; Xiangyu Liu; Wei Du 002; Yijun Liu; Qianqian Li (Inf. Process. Manag., 2023)

SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning. - Ying Li 004; Hang Sun; Wensi Fang; Qin Ma 003; Siyu Han; Rui Wang-Sattler; Wei Du 002; Qiong Yu (Inf. Sci., 2023)

Water Quality Prediction Based on Machine Learning and Comprehensive Weighting Methods. - Xianhe Wang; Ying Li 004; Qian Qiao; Adriano Tavares; Yanchun Liang 001 (Entropy, 2023)

Consistency label-activated region generating network for weakly supervised medical image segmentation. - Wei Du 002; Yongkang Huo; Rixin Zhou; Yu Sun; Shiyi Tang; Xuan Zhao; Ying Li 004; Gaoyang Li (Comput. Biol. Medicine, 2024)

What's the Situation With Intelligent Mesh Generation: A Survey and Perspectives. - Na Lei; Zezeng Li; Zebin Xu; Ying Li 004; Xianfeng Gu (IEEE Trans. Vis. Comput. Graph., 2024)